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Presents an approach for evaluating the number of vendors to employ in a procurement situation using multi‐objective programming (MOP) and data envelopment analysis (DEA). The approach advocates developing vendor‐order quantity solutions (referred to as supervendors) using MOP and then evaluating the efficiency of these supervendors on multiple criteria using DEA. Formulations are presented for both the MOP and DEA models. A case study is presented for a Fortune 500 company in a just‐in‐time (JIT) manufacturing environment.

Using a dynamic capabilities lens, this paper aims to study the impact of genomics generally and gene therapy specifically on the rare disease sector of the biopharmaceutical industry.

In this study, 24 genomics-based, rare disease-focused biopharma companies were studied and several variables were tested with respect to enterprise value growth. The companies were analyzed as a group of rare disease firms, as well as by size.

The authors found that number of employees, revenues, number of pipeline and marketed products and retained earnings are strongly correlated (in that order) with enterprise value in rare disease focused biopharma companies. These correlations seem to be weaker as a company’s market capitalization size decreases, indicating that there tends to be increasing returns to scale.

This study found that increasing rates of cumulative returns to enterprise value growth depends on accumulating knowledge-based employees and expanding product portfolios of disruptive genomics-based technologies for treating rare diseases. Aggregating skilled and innovative employees (especially in bigger companies) can be seen as a cumulative bolstering factor in leveraging dynamic capabilities which can be recognized, understood and transformed into commercial success (i.e. increasing returns in enterprise value). In other words, technology managers’ job is to manage not only the financial aspects of the technology but also human resources, asset configuration and strategic alliances efficiently toward faster and better innovation. Strong dynamic capabilities can be formed with the accumulation of experience, articulation and codification of knowledge and an adaptive ability to change the way they solve problems as their environment transforms.

This is the first study to demonstrate and measure a relationship between dynamic capabilities and enterprise value in genomics-based rare disease firms. Further, this study highlights the importance of building the capability and capacity to absorb expertise and accumulate knowledge for new product innovations and sustainable competitive advantage in industries characterized by disruptive innovation.

Explores the use of a multi‐objective programming approach as a method for supplier selection in a just‐in‐time (JIT) setting. Based on a case study, develops a model of JIT supplier selection which allows for simultaneous trade‐offs of price, delivery and quality criteria. The analysis occurs in a decision support system environment. A multi‐objective programming decision support system is seen as advantageous because such an environment allows for judgement in decision making while simultaneously trading off key supplier selection criteria. An additional flexibility of this model is that it allows a varying number of suppliers into the solution, and provides suggested volume allocation by supplier.

Benchmarking has long been recognized as an important business activity. The primary goal of benchmarking is to produce a product or execute a process that is at least as good as the best firms producing similar products or performing similar processes. Important components of benchmarking include: determining what to benchmark, identifying the “best of the best”, collecting internal and external data and data associated with the “the best”, and analyzing how a firm can move from its current capability to that of the best. To date, benchmarking has been considered primarily as a producer/vendor based activity. This paper proposes that in many situations benchmarking should be viewed as a customer/purchaser based activity. The primary benefit of purchaser‐originated benchmarking is that it facilitates the collection of competitor's data and allows the customer to determine directly the product/process requirements desired.

While it has long been recognized that vendor selection is multi‐objective in nature, little has been done to develop techniques for measuring vendors’ performance on multiple criteria. Demonstrates the use of data envelopment analysis (DEA) as a tool for measuring the performance of vendors on multiple criteria and for use in vendor negotiations. Describes the DEA model, develops a DEA formulation for measuring vendor efficiency and, finally, shows how a baby food manufacturer applied the DEA technique in a just‐in‐time environment. Shows how application of the DEA technique can provide savings in monetary and other measurable terms.

By testing the weak form of efficient market hypothesis (EMH) this study aims to forecast the short-term stock prices of the US Dow and Jones environmental socially responsible index (SRI) and Shariah compliance index (SCI).

This study checks the validity of the weak form of EMH for both SCI and SRI prices by using different parametric and non-parametric tests, i.e. augmented Dickey-Fuller test, Philip-Perron test, runs test and variance ratio test. If the EMH is invalid, the research further forecasts short-term stock prices by applying autoregressive integrated moving average (ARIMA) model using daily price data from 2010 to 2018.

The research confirms that a weak form of EMH is not valid in the US SRI and SCI. The historical data can predict short-term future price movements by using technical ARIMA model.

This study provides better guidance to risk-averse national and international investors to earn higher returns in the US SRI and SCI. This study can be extended to test the EMH of Islamic equity in the Middle East and North Africa region and other top Islamic indexes in the world.

This study is a new addition to the existing literature of equity investment and price forecasting by comparing and investigating the market efficiency of two interrelated US SRI and SCI.

After some introductory words about the preeminence of German accounting research during the first half of the 20th century, the paper offers a survey of the most important theories of accounts classes that still prevailed during the first two decades or longer. Following World War I, the issue of hyperinflation in Austria and Germany stimulated a considerable amount of original accounting research. After the inflationary period, a series of competing Bilanztheorien, discussed in the text, dominated the scene. Two figures emerged supremely from this struggle. The first was Eugen Schmalenbach, with his “dynamic accounting”, a series of further important contributions to inflation accounting, to the master chart of accounts, to cost accounting, and to other areas of business economics. The other scholar was Fritz Schmidt, with his organic accounting theory that promoted replacement values and his emphasis on the profit and loss account, no less than the balance sheet. The gamut of further eminent personalities, listed in chronological order, contains the following names: Schär, Penndorf, Leitner, Gomberg, Nicklisch, Rieger, Prion, Osbahr, Passow, Dörfel, Sganzini, Walb, Calmes, Kalveram, Meithner, Lion, Töndury, Mahlberg, le Coutre, Geldmacher, Max Lehmann, Leopold Mayer, Karl Seidel, Alfred Isaac, Mellerowicz, Seyffert, Beste, Gutenberg, Käfer, Seischab, Kosiol, Münstermann, and others. Separate Sections or Sub‐Sections are devoted to charts and master charts of accounts in German accounting theory, as well as to cost accounting and the writing of accounting history.

Decision-making behaviour of property investors has been the focus of real estate research for decades. Yet, there is no consensus on a generally accepted behavioural model that suits all market conditions and investment peculiarities. While scholars have emphasized the significance of rational reasoning and cognitive influences on property investment decision-making preferences, gaps remain regarding the impacts of market disruptions on property investment decision-making behaviour. This paper, therefore, explores the institutional framework as a theoretical basis for understanding property investment decision-making behaviour amidst market disruptions.

This paper reports a systematic review of pertinent theories that have explored decision-making behaviour. Commencing with an index search of high impact peer-reviewed journals, a snowball identification of relevant citations was also deployed to assemble theories from the field of psychology, sociology, economics and urban studies. Although a preliminary dataset of 82 papers with relevant decision-making theories was identified, the final dataset comprised 27 papers and 7 theories. The identified theories were reviewed accordingly.

The outcome of this study suggests that the institutional framework offers a robust approach to property investment decision-making amidst market disruptions, especially because it recognizes the dynamism in the investment environment and the roles of formal and informal rules that exist therein.

This study advances the current understanding of property investment decision-making behaviour by recognising the dynamism of the investment environment and how factors such as principles, laws, tradition and routines can lead to an established and legitimate standard of reasoning. By integrating both rational and cognitive attributes, the study provides a holistic perspective to property investors' decision-making behaviour in response to market disruptions.